时 间：2017年6月22日，周四13:30
地 点：阳澄湖校区交通大楼一楼报告厅
报告人：高晓旸（Robert X. Gao）教授，美国凯斯西储大学大学Cady Staley教授
题 目：From Sensors to Sensor Informatics （从传感器到传感器信息学）
摘 要：Recent advancement in data science has opened up new opportunities to complement advanced sensing technologies for more effective and efficient extraction of information embedded in raw sensor data to enable intelligence operation and control of machines and processes, leading to the low-cost production of high quality products. Actionable information generated by data analytics has the potential to increase the accuracy and reliability in predictive modeling of equipment failure rates and remaining useful life, consequently improving the robustness in preventative maintenance scheduling. This seminar highlights research that integrates process-embedded sensing methods with advanced computational algorithms to improve the observability in manufacturing process monitoring and product quality control, using polymer injection molding as an example. The design, characterization, and realization of a multivariate sensor with acoustic wireless data transmission capability are introduced, which outperforms commercial sensors in predicting the quality attributes of injection molded parts, due to integration of advanced computational method. The presentation demonstrates the significance of integrating sensing physics with data analytics for advancing the science base for manufacturing.
个人简历：Robert X. Gao is the Cady Staley Professor of Engineering and Department Chair of Mechanical and Aerospace Engineering at the Case Western Reserve University in Cleveland, Ohio, USA（凯斯西储大学机械与航空工程系主任）. Since receiving his Ph.D. from the Technical University of Berlin, Germany in 1991, he has been working on physics-based sensing methodology, multi-resolution signal processing, and energy-efficient sensor networks for improving the observability of systems and processes（研究领域：从事微型嵌入式传感器与智能结构设计，机械振动系统的建模与分析，非平稳信号处理，节能型可重构传感器网络的设计，机械状态检测，故障诊断，寿命周期预测，云计算，大数据分析，机器学习等方面的研究）. Together with his students and research associates, he has published over 350 technical papers and 2 books. He holds 10 patents, and is a recipient of multiple honors and awards, including the IEEE Instrumentation and Measurement Society’s Technical Award (2013), NSF CAREER award (1996), and multiple Best Paper/Outstanding Paper awards. Prof. Gao is an elected Fellow of the IEEE, ASME, SME, and CIRP (International Academy for Production Engineering), a Distinguished Lecturer of the IEEE Instrumentation and Measurement Society, and a Corresponding Member of the Connecticut Academy of Science and Engineering. He was a Distinguished Lecturer of the IEEE Electron Devices Society, and served as an Associate Editor for four IEEE and ASME journals. Presently he serves as a Guest Editor for the Special Issue on Data Science-Enhanced Manufacturing of the ASME Journal of Manufacturing Science and Engineering.
